Resistance and Subsistence: An Ecofeminist Analysis of Anti-mining Mobilization in the Dominican Republic
Bibliographic record
Abstract
Global resistance to neocolonial extractive projects is growing, with women often on the frontlines of mobilization in defense of their ecologies and communities. Through the application of an ecofeminist analysis, this paper highlights the lived-experiences of women's resistance to open-pit mining in the Dominican Republic. A critical narrative inquiry with 10 women over a two-year period reveals thematic consistencies in their experiences, including motherhood and kinship, nuances of relocation, consequences of resistance and strength and resiliency, contributing unique contextual understandings to existing discourse. The paper presents their shared experiences as situated within systemic forces of power, illustrating ecofeminist understandings of capitalist patriarchal exploitation of nature and women for economic growth. This work bridges a critical gap in existing literature by situating the Dominican Republic within the broader narratives of gender, mining, and resistance in Latin America and the Caribbean. The significance of this paper lies in its capacity to highlight narratives of gendered resistance which aim to disrupt systems of transnational extraction and strengthen global solidarity for women's anti-mining resistance movements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".